Enkrypt AI, a leader in AI security and compliance - is proud to announce the launch of its latest Multimodal AI Security Solution. As multimodal AI adoption accelerates across industries, organizations must address growing security threats and compliance challenges.
"Multimodal AI enables AI systems to process and integrate multiple data types—text, images, voice, sensor data, and video—to enhance user experience and improve decision-making," says Sahil Agarwal, CEO and cofounder of Enkrypt AI. "However, these systems are inherently more vulnerable than traditional AI models, as they are susceptible to attacks leveraging blended input methods such as text-to-image or voice-to-text exploitation."
Why Securing Multimodal AI Matters
As multimodal AI becomes a critical component of customer support, marketing, medical diagnostics, and intelligent virtual assistants, organizations face new risks, including:
• Expanded attack surfaces - Malicious actors can manipulate chatbots with embedded voice or image-based commands, bypassing security safeguards.
• Compounded AI bias - Bias in voice, text, and image recognition can reinforce discrimination in job recruitment, financial services, and healthcare.
• Privacy violations & data leakage - Multimodal AI applications that process voice and images risk exposing sensitive personal information.
Enkrypt AI's Multimodal AI Security: A Two-Pronged Approach
To combat these challenges, Enkrypt AI introduces a dual approach to detect and remove multimodal AI threats:
1. Multimodal Red Teaming (AI threat detection in pre-production)
- Detects malicious text, image, and voice prompts that attempt to manipulate AI responses.
- Identifies adversarial input attacks, hallucinations, and bias issues before deployment.
- Provides compliance readiness for global regulations (NIST, OWASP, EU AI Act) and industry-specific regulations (FDA, HIPAA, IRS, etc.)
2. Multimodal Guardrails (AI threat removal in production)
- Blocks harmful text, image, and voice inputs in real time.
- Provides high-accuracy, low-latency protection against security threats, bias, privacy violations, and hallucinations.
- Ensures continuous compliance with regulatory requirements and internal policies.
Enterprise Visibility into Multimodal AI Risks
Enkrypt AI offers a centralized dashboard that provides enterprises with real-time insights into detected and neutralized threats across all multimodal AI systems. Organizations can monitor security breaches, compliance violations, and AI bias issues across text, image, and voice modalities.
Proven Multimodal AI Security in Action
Companies like Phot.AI have already leveraged Enkrypt AI to safeguard their text-to-image AI applications, ensuring that AI-generated content remains secure, unbiased, and compliant.
We chose Enkrypt AI to secure our multimodal AI application—transforming text commands into image creatives for ads and e-commerce listings. Their capability in safeguarding AI-generated text and creatives is exceptional."
Akshit Raja, Co-founder & Head of AI, Phot.AI
The Future of Secure Multimodal AI
With increasing adoption of multimodal AI in enterprises, ensuring robust security and compliance measures is no longer optional—it is a necessity. Enkrypt AI's security-first approach allows businesses to confidently deploy multimodal AI technologies without compromising on trust, compliance, or safety.